Developing a prototype of a Supply Chain Resilience measuring methodology (KB-29-007-010)

Project: EZproject

Project Details

Description

Many bio-based production systems have been designed to maximize productivity and efficiency under standard conditions, increasing their vulnerability to changes in their surrounding natural, technological and social systems. Agri-food companies have been optimized to produce as many goods and services as efficiently as possible under standard conditions. However, insufficient attention has been paid to resilience to withstand major disruptions. Research applying quantitative metrics to supply chain resilience is limited. This study therefore aims to develop a prototype of a tool to quantify supply chain resilience and to identify strong and weak points in the supply chain. The tool is based on a Bayesian Network. A first draft was developed in 2017. In 2018, the tool will be further developed and tested using two case studies, one disruption in a Dutch sustainable pork supply chain and one has yet to be chosen.

 

 

 

 

StatusFinished
Effective start/end date1/01/1731/12/18

Research Output

  • 1 Abstract
  • 1 Conference paper
Open Access
  • Analysing supply chain resilience with a Bayesian Network

    van Wagenberg, C. P. A., Aramyan, L. H., de Lauwere, C. C., Meuwissen, M. P. M., Timmer, M. J. & Willems, D. J. M., 2018, Food 2030: Towards Sustainable Agri-Food Systems: International Congress, 5-6 September 2018, University of Hohenheim, abstracts of free presenters. p. 18-18

    Research output: Chapter in Book/Report/Conference proceedingAbstract

    Open Access